scholarly journals Phenotype molding of T cells in colorectal cancer by single‐cell analysis

2020 ◽  
Vol 146 (8) ◽  
pp. 2281-2295 ◽  
Author(s):  
Jiabo Di ◽  
Maoxing Liu ◽  
Yingcong Fan ◽  
Pin Gao ◽  
Zaozao Wang ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
T Cells ◽  
Single Cell ◽  
Single Cell Analysis ◽  
Cell Analysis

scholarly journals Colorectal Cancer Stem Cell States Uncovered by Simultaneous Single‐Cell Analysis of Transcriptome and Telomeres

2021 ◽  
Vol 8 (8) ◽  
pp. 2004320
Author(s):  
Hua Wang ◽  
Peng Gong ◽  
Tong Chen ◽  
Shan Gao ◽  
Zhenfeng Wu ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Stem Cell ◽  
Cancer Stem Cell ◽  
Single Cell ◽  
Single Cell Analysis ◽  
Cell Analysis

scholarly journals High-throughput and high-dimensional single-cell analysis of antigen-specific CD8+ T cells

2021 ◽  
Author(s):  
Ke-Yue Ma ◽  
Alexandra A. Schonnesen ◽  
Chenfeng He ◽  
Amanda Y. Xia ◽  
Eric Sun ◽  
...  
Keyword(s):  
T Cells ◽  
Single Cell ◽  
High Throughput ◽  
Cd8 T Cells ◽  
Single Cell Analysis ◽  
High Dimensional ◽  
Cell Analysis

Single-Cell Analysis of NFATc1 Amplification in T Cells for Pharmacodynamic Monitoring of Tacrolimus

2018 ◽  
Vol 102 ◽  
pp. S139
Author(s):  
Nynke Kannegieter ◽  
Dennis Hesselink ◽  
Marjolein Dieterich ◽  
Gretchen de Graav ◽  
Rens Kraaijeveld ◽  
...  
Keyword(s):  
T Cells ◽  
Single Cell ◽  
Single Cell Analysis ◽  
Cell Analysis

Single-Cell Analysis of Costimulation by B Cells, Endothelial Cells, and Fibroblasts Demonstrates Heterogeneity in Responses of CD4+ Memory T Cells

1999 ◽  
Vol 194 (2) ◽  
pp. 150-161 ◽  
Author(s):  
Lisa L. Salazar Murphy ◽  
Melissa M. Mazanet ◽  
Angela C. Taylor ◽  
Javier Mestas ◽  
Christopher C.W. Hughes
Keyword(s):  
T Cells ◽  
Endothelial Cells ◽  
B Cells ◽  
Single Cell ◽  
Single Cell Analysis ◽  
Memory T Cells ◽  
Cell Analysis

scholarly journals Stratification of chemotherapy-treated stage III colorectal cancer patients using multiplexed imaging and single-cell analysis of T-cell populations

2021 ◽  
Author(s):  
Xanthi Stachtea ◽  
Maurice B. Loughrey ◽  
Manuela Salvucci ◽  
Andreas U. Lindner ◽  
Sanghee Cho ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Overall Survival ◽  
Single Cell ◽  
Immune Cell ◽  
Single Cell Analysis ◽  
Cell Types ◽  
Cell Segmentation ◽  
Stage Iii ◽  
Cell Analysis ◽  
Increased Risk

AbstractColorectal cancer (CRC) has one of the highest cancer incidences and mortality rates. In stage III, postoperative chemotherapy benefits <20% of patients, while more than 50% will develop distant metastases. Biomarkers for identification of patients at increased risk of disease recurrence following adjuvant chemotherapy are currently lacking. In this study, we assessed immune signatures in the tumor and tumor microenvironment (TME) using an in situ multiplexed immunofluorescence imaging and single-cell analysis technology (Cell DIVETM) and evaluated their correlations with patient outcomes. Tissue microarrays (TMAs) with up to three 1 mm diameter cores per patient were prepared from 117 stage III CRC patients treated with adjuvant fluoropyrimidine/oxaliplatin (FOLFOX) chemotherapy. Single sections underwent multiplexed immunofluorescence staining for immune cell markers (CD45, CD3, CD4, CD8, FOXP3, PD1) and tumor/cell segmentation markers (DAPI, pan-cytokeratin, AE1, NaKATPase, and S6). We used annotations and a probabilistic classification algorithm to build statistical models of immune cell types. Images were also qualitatively assessed independently by a Pathologist as ‘high’, ‘moderate’ or ‘low’, for stromal and total immune cell content. Excellent agreement was found between manual assessment and total automated scores (p < 0.0001). Moreover, compared to single markers, a multi-marker classification of regulatory T cells (Tregs: CD3+/CD4+FOXP3+/PD1−) was significantly associated with disease-free survival (DFS) and overall survival (OS) (p = 0.049 and 0.032) of FOLFOX-treated patients. Our results also showed that PD1− Tregs rather than PD1+ Tregs were associated with improved survival. These findings were supported by results from an independent FOLFOX-treated cohort of 191 stage III CRC patients, where higher PD1− Tregs were associated with an increase overall survival (p = 0.015) for CD3+/CD4+/FOXP3+/PD1−. Overall, compared to single markers, multi-marker classification provided more accurate quantitation of immune cell types with stronger correlations with outcomes.

scholarly journals Single-Cell Analysis of Antigen-Specific CD8+ T-Cell Transcripts Reveals Profiles Specific to mRNA or Adjuvanted Protein Vaccines

2021 ◽  
Vol 12 ◽  
Author(s):  
Trine Sundebo Meldgaard ◽  
Fabiola Blengio ◽  
Denise Maffione ◽  
Chiara Sammicheli ◽  
Simona Tavarini ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Single Cell ◽  
Cd8 T Cells ◽  
Single Cell Analysis ◽  
Expression Profiles ◽  
Cd8 T Cell ◽  
Cellular Heterogeneity ◽  
Cell Analysis

CD8+ T cells play a key role in mediating protective immunity after immune challenges such as infection or vaccination. Several subsets of differentiated CD8+ T cells have been identified, however, a deeper understanding of the molecular mechanism that underlies T-cell differentiation is lacking. Conventional approaches to the study of immune responses are typically limited to the analysis of bulk groups of cells that mask the cells’ heterogeneity (RNA-seq, microarray) and to the assessment of a relatively limited number of biomarkers that can be evaluated simultaneously at the population level (flow and mass cytometry). Single-cell analysis, on the other hand, represents a possible alternative that enables a deeper characterization of the underlying cellular heterogeneity. In this study, a murine model was used to characterize immunodominant hemagglutinin (HA533-541)-specific CD8+ T-cell responses to nucleic- and protein-based influenza vaccine candidates, using single-cell sorting followed by transcriptomic analysis. Investigation of single-cell gene expression profiles enabled the discovery of unique subsets of CD8+ T cells that co-expressed cytotoxic genes after vaccination. Moreover, this method enabled the characterization of antigen specific CD8+ T cells that were previously undetected. Single-cell transcriptome profiling has the potential to allow for qualitative discrimination of cells, which could lead to novel insights on biological pathways involved in cellular responses. This approach could be further validated and allow for more informed decision making in preclinical and clinical settings.

Sign in / Sign up

Export Citation Format

Share Document